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Sr Business Analysis Manager - Media Analytics, Mint Mobile

Job in Bellevue, King County, Washington, 98009, USA
Listing for: T-Mobile
Full Time position
Listed on 2026-10-18
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems & Technology Analysis, Business Intelligence
Salary/Wage Range or Industry Benchmark: 97000 - 174000 USD Yearly USD 97000.00 174000.00 YEAR
Job Description & How to Apply Below
About the Team;

Media Analytics is a team of visionaries and problem solvers who apply rigorous analytics to guide and optimize paid media investments across the T-Mobile enterprise, including our flagship T-Mobile brand, Metro by T-Mobile, Home Internet, T-Mobile for Business, Mint Mobile, and emerging products. We own media measurement, scenario planning, and the analytics that drive media decisions. Our work spans Media Mix Modeling, Test & Learn experimentation (geo-lift, A/B testing), in-platform attribution, and forecasting, and our insights directly influence leadership decisions on media strategy and investments.

Join us to unleash your intellectual curiosity and help shape the future of the Un-carrier’s media strategy!

The Role

We are seeking a curious, data-savvy, and strategic problem solver to join our team as Senior Business Analysis Manager, Media Analytics. This role sits at the intersection of data, analytics, business strategy, and media. You will lead analyses that connect media investment to business outcomes and turn them into recommendations that marketing and business leaders can act on. Success in this role takes technical depth and business judgment, paired with strong communication.

You will regularly work with marketing partners across the enterprise to explain what the data show, how to interpret findings, and what actions to take. Specific focus areas vary by opening and may include measurement, forecasting, scenario planning, or insights delivery to collaborators.

Location:

Bellevue, WA (Hybrid, 3 Days On-Site)

Job Responsibilities:
  • Lead analytical initiatives that evaluate and optimize paid media performance across channels, producing insights that advise campaign strategy, investment efficiency, and business outcomes.
  • Own end-to-end analytical workflows, from sourci ng and validating media, conversion, and customer data in SQL, Python, and Databricks to delivering recommendations to senior leaders.
  • Apply and interpret core measurement methods (MMM, experimentation, in-platform attribution, forecasting), and know which fits the decision at hand.
  • Support forecasting and scenario planning that quantify expected activations and traffic and assess how paid media can help close gaps to busi nness targets.
  • Act as the trusted analytics partner to marketing and media collaborators, working with them to define the business question, agree on success metrics, and shape the right analytical approach.
  • Translate analytical findings into clear narratives and recommendations for non-technical audiences, explaining what the data show, how confident we are, and what to do next.
  • Use AI and GenAI tools to automate recurring reporting, accelerate insight generation, and support the delivery of natural-language, self-service views of media performance.
  • Manage multiple work streams and shifting priorities, adjusting analyses and reporting as b u s i n e s s needs evolve.
  • Stay current on media platforms, measurement methods, and industry trends, and bring new ideas to the team.
Education and Work Experience
  • Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Engineering, Information Systems) i is a requirement, plus at least 7 years of experience OR Master’s degree, plus 5 years of experience.
  • 7+ years of experience in analytics, marketing or media measurement, forecasting, or business intelligence.
  • Communication: exceptional communication and storytelling skills, with proven ability to explain complex analytics to non-technical marketing partners and influence senior collaborators through clear written, verbal, and visual communication.
  • Analytical strength: solid grounding in statistics and causal inference, with working knowledge of M M M, experimentation,…
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